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This guide actively supports organisations with challenges regarding data sharing for AI applications. In doing so, this guide focuses on the guidelines and building blocks for individual (sectoral, application-specific) AI […]
This guide actively supports organisations with challenges regarding data sharing for AI applications. This guide focuses on the guidelines and building blocks to interconnect data spaces. Download the Reference Guide […]
The FAIR Guiding Principles provide guidance when improving Findability, Accessibility, Interoperability and Reusability of digital resources. But they do not dictate specific technological implementations. The GO FAIR Foundation believes that […]
To accelerate broad community convergence on FAIR implementation options, the GO FAIR community launched the development of machine-actionable FAIR Implementation Profiles (FIP). The FIP is a collection of FAIR implementation […]
FAIR Data Point (FDP) is a metadata service that provides access to metadata following the FAIR principles. FDP uses a REST API for creating, storing, and serving FAIR metadata. FDP […]
This document describes the top-level Gaia-X Architecture model. It focuses on conceptual modelling and key considerations of an operating model and is agnostic regarding technology and vendor. In doing so, […]
Gaia-X developed a Trust Framework and Labelling Framework that safeguard data protection, transparency, security, portability, and flexibility for the ecosystem as well as sovereignty and European Control. The Trust Framework […]
Gaia-X developed a Trust Framework and Labelling Framework that safeguard data protection, transparency, security, portability, and flexibility for the ecosystem as well as sovereignty and European Control. The Labelling Framework […]
In the first phase of data space development, we guide you through several steps that enable you to kickstart a data sharing use case. The goal of this phase is […]
In the second phase of data space development, we work with a group of stakeholders representing all actors involved in the use case to create an overview of all relevant […]
In the third phase of data space development, all involved stakeholders work on the implementation of the use case. After implementation of the required agreements, you will have a live […]
The Data Sharing Canvas is a document that provides a foundation for agreements and serves as a stepping-stone to facilitate trust and technical interoperability for cross-domain data sharing at scale. […]
